Why does the text appear only after I release the shortcut?

Normal behavior

Weesper Neon Flow follows a simple workflow:

  1. You hold the dictation shortcut.
  2. The app records your voice.
  3. You release the shortcut.
  4. The audio is transcribed locally on your computer.
  5. The text is inserted where your cursor is.

The text therefore does not appear progressively while you speak. It appears after you release the shortcut.

Why does it work this way?

This behavior lets Weesper Neon Flow process your audio locally, without sending your voice to a server. It also gives the transcription engine a little more context before producing the final text.

For short and medium-length phrases, this often gives better results than immediately displaying text word by word.

What you should see during dictation

While you hold the shortcut:

After you release the shortcut, Weesper Neon Flow shows a processing state, then inserts the text.

If the text never appears

If the text does not appear after you release the shortcut:

  1. Check whether the transcription appears in Weesper Neon Flow history.
  2. If it appears in history but not in the target app, see the Text not inserted article.
  3. If it does not appear in history either, check your microphone and permissions.

If processing takes too long

The delay depends on the recognition profile, quality level, and power of your computer. If you wait too long after each dictation:

A mode called “Instant” or “Fast” means the profile prioritizes speed, but it does not mean the text appears while you speak.

FAQ

Should the text appear while I am speaking?

No. In the current version, Weesper Neon Flow records while you hold the shortcut, then transcribes and inserts the text after you release it.

Is it a bug if I only see the sound wave during dictation?

No. The sound wave means recording is in progress. The text is generated after the recording ends.

Is there a real-time mode?

Not in the current version. Weesper Neon Flow works by recording a short segment, then transcribing it locally.

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